<p>This tutorial shows how to use the GBM method in H<sub>2</sub>O for model training and classification.</p>

<p>GBM is a method for regression and classification that builds a forest of gradient boosted trees. The trees are built from a training dataset and can be used to make predictions on a test dataset.</p>

<p>
Vocabulary:
<ul>
  <li><a href="http://en.wikipedia.org/wiki/Gradient_boosting">Gradient boosting</a></li>
</ul>
</p>
